Image classification using object detectors. - Thibaut Durand; Nicolas Thome; Matthieu Cord; Sandra Eliza Fontes de Avila (ICIP, 2013)

Semantic pooling for image categorization using multiple kernel learning. - Thibaut Durand; David Picard; Nicolas Thome; Matthieu Cord (ICIP, 2014)

Incremental learning of latent structural SVM for weakly supervised image classification. - Thibaut Durand; Nicolas Thome; Matthieu Cord; David Picard (ICIP, 2014)

MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. - Thibaut Durand; Nicolas Thome; Matthieu Cord (ICCV, 2015)

WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. - Thibaut Durand; Nicolas Thome; Matthieu Cord (CVPR, 2016)

Synthetic Sound Event Detection based on MFCC. - Juana M. Gutiérrez-Arriola; Rubén Fraile; Alexander Camacho; Thibaut Durand; Jaime L. Jarrín; Shirley R. Mendoza (DCASE, 2016)

WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. - Thibaut Durand; Taylor Mordan; Nicolas Thome; Matthieu Cord (CVPR, 2017)

Weakly supervised learning for visual recognition. (Apprentissage faiblement supervisé pour la reconnaissance visuelle). - Thibaut Durand (2017)

SyMIL: MinMax Latent SVM for Weakly Labeled Data. - Thibaut Durand; Nicolas Thome; Matthieu Cord (IEEE Trans. Neural Networks Learn. Syst., 2018)

Variational Selective Autoencoder. - Yu Gong; Hossein Hajimirsadeghi; Jiawei He 001; Megha Nawhal; Thibaut Durand; Greg Mori (AABI, 2019)

Learning a Deep ConvNet for Multi-Label Classification With Partial Labels. - Thibaut Durand; Nazanin Mehrasa; Greg Mori (CVPR, 2019)

A Variational Auto-Encoder Model for Stochastic Point Processes. - Nazanin Mehrasa; Akash Abdu Jyothi; Thibaut Durand; Jiawei He 001; Leonid Sigal; Greg Mori (CVPR, 2019)

LayoutVAE: Stochastic Scene Layout Generation From a Label Set. - Akash Abdu Jyothi; Thibaut Durand; Jiawei He 001; Leonid Sigal; Greg Mori (ICCV, 2019)

Point Process Flows. - Nazanin Mehrasa; Ruizhi Deng; Mohamed Osama Ahmed; Bo Chang 002; Jiawei He 001; Thibaut Durand; Marcus A. Brubaker; Greg Mori (CoRR, 2019)

Exploiting Negative Evidence for Deep Latent Structured Models. - Thibaut Durand; Nicolas Thome; Matthieu Cord (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Learning User Representations for Open Vocabulary Image Hashtag Prediction. - Thibaut Durand (CVPR, 2020)

Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. - Yu Gong; Hossein Hajimirsadeghi; Jiawei He 001; Thibaut Durand; Greg Mori (AISTATS, 2021)

Training a Vision Transformer from scratch in less than 24 hours with 1 GPU. - Saghar Irandoust; Thibaut Durand; Yunduz Rakhmangulova; Wenjie Zi; Hossein Hajimirsadeghi (CoRR, 2022)

LAST SToP For Modeling Asynchronous Time Series. - Shubham Gupta; Thibaut Durand; Graham Taylor; Lilian W. Bialokozowicz (CoRR, 2025)